| Status | Crowd Source | Ministry of Health and Family Welfare |
|---|---|---|
| Deceased | 34 | 414 |
| Hospitalized | 12766 | 10485 |
| Recovered | 167 | 1494 |
| Total | 12968 | 12393 |
Crowd Sourced Data: https://www.covid19india.org/
Official Data: Ministry of Health and Family Welfare Data hosted on this repository https://github.com/Impactech/covid19_india_data
World Data: Repository hosted by Johns Hopkins CSSE https://github.com/CSSEGISandData/COVID-19
Last update at 2020-04-16 18:18:59
Statewise progression of the cumulative number of cases against the number of days since first report
Data: Crowd sourced
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaTimeseriesAnimation.R
The solid lines are smoothed conditional means, which indicated the overall trend. The dots and the soft lines represent actual data.
Growth rate is calculated as:
\[G_{current} = (Total_{previous}- Total_{current})/Total_{previous}\]
Daily Growth rate of COVID19 cases in India
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaGrowthRate_v2.R
Total number of COVID19 cases in India by Date
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaCumulativeCases_v2.R
Data: Crowd sourced
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaYesterday.R
Since the daily growth rate can be noisy, it may be helpful to see the weekly mean of daily growth rate to identify the tapering.
The Weekly mean of daily growth rate is calculated as follows:
\[ G_{WeeklyMean} = NewCases_{CurrentWeek}*100/(Sunday_{Previous} - Sunday_{Latest})*Cumulative_{PreviousWeek} \]
Statewise Split
Data: Crowd sourced
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaTimeseries_v3.R
Statewise Split
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaStateWise.R
Data available for 1551 cases
Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaAgewise.R
This Dashboard is Hosted On this Repo
by Rahul Nayak
Impactech! The SmartLoo Platform’s Technology Wizards.